首页> 外文会议>2013 Seventh International Conference on Complex, Intelligent, and Software Intensive Systems >The Evaluation of the Improved Redundant Power Consumption Laxity-Based (IRPCLB) Algorithm in Homogeneous and Heterogeneous Clusters
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The Evaluation of the Improved Redundant Power Consumption Laxity-Based (IRPCLB) Algorithm in Homogeneous and Heterogeneous Clusters

机译:基于均质和非均质集群的改进冗余冗余度算法(IRPCLB)的评估

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In a server cluster, one server is usually selected to perform a request process from a client. Once the server stops by fault, the client is suspended to wait for a reply. Even if the request is performed on another server on detection of fault of the server, some QoS requirement like response time may not be satisfied. Hence, each request is redundantly performed on multiple servers to be tolerant of server faults. Here, more number of servers a request process is redundantly performed, the more reliable but the more amount of electric power is consumed. Thus, it is critical to discuss how to realize a reliable and energy-aware server cluster in presence of server faults. The redundant power consumption laxity-based (RPCLB) algorithm is proposed to redundantly and energy-efficiently perform a request process in our previous studies. In this paper, we newly discuss an improved RPCLB (IRPCLB) algorithm where once a process successfully terminates on one server, meaningless redundant processes are forced to terminate on the other servers. We show the total power consumption of servers and response time of each process can be reduced in the IRPCLB algorithm than the RPCLB and round-robin (RR) algorithms in both heterogeneous and homogeneous clusters.
机译:在服务器群集中,通常选择一台服务器来执行来自客户端的请求过程。一旦服务器由于故障而停止,客户端将被挂起以等待答复。即使在检测到服务器故障时在另一台服务器上执行请求,也可能无法满足某些QoS要求,例如响应时间。因此,每个请求都在多个服务器上冗余执行以容忍服务器故障。在此,冗余地执行请求处理的服务器数量越多,则越可靠,但是消耗的电力量越多。因此,讨论存在服务器故障时如何实现可靠且节能的服务器集群至关重要。在我们先前的研究中,提出了基于冗余功耗松弛的(RPCLB)算法,以冗余且节能地执行请求过程。在本文中,我们新讨论了一种改进的RPCLB(IRPCLB)算法,该算法一旦一个进程在一个服务器上成功终止,则无意义的冗余进程将被迫在另一台服务器上终止。我们显示,在异构群集和同质群集中,与RPCLB和循环(RR)算法相比,在IRPCLB算法中可以减少服务器的总功耗和每个进程的响应时间。

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